An alternative method of concept learning

Sen Wang; Qingxiang Fang; Jun-e Feng

doi:10.21914/anziamj.v58i0.10983

Authors

Sen Wang Shandong University http://orcid.org/0000-0003-0428-615X
Qingxiang Fang China Jiliang University http://orcid.org/0000-0001-9723-3617
Jun-e Feng Shandong University http://orcid.org/0000-0002-2192-6481

DOI:

https://doi.org/10.21914/anziamj.v58i0.10983

Keywords:

concept learning, version space, semi-tensor product, target concept, all possible hypotheses

Abstract

We solve the problem of concept learning using a semi-tensor product method. All possible hypotheses are expressed under the framework of a semi-tensor product. An algorithm is raised to derive the version space. In some cases, the new approach improves the efficiency compared to the previous approach. doi:10.1017/S1446181116000316

Author Biographies

Sen Wang, Shandong University

School of Mathematics

Qingxiang Fang, China Jiliang University

School of Science

Jun-e Feng, Shandong University